Dataset: phyto growth rates

Name: Laboratory results on marine phytoplankton growth rates, temperatures, and isolation locations collected at Michigan State University in 2012
Published: 2014-12-22
Keywords: biota, oceans

Cite This Dataset

Spatial Extent: N:76.28 E:110.48 S:-74.83 W:62

Project:

Phytoplankton Traits, Functional Groups and Community Organization: A Synthesis (Phytoplankton Traits)

Principal Investigator:

Elena Litchman (Michigan State University, MSU)

Co-Principal Investigator:

Christopher Klausmeier (Michigan State University, MSU)

Contact:

Dr Mridul Thomas (Swiss Federal Institute of Aquatic Science and Technology, EAWAG)

BCO-DMO Data Manager:

Nancy Copley (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

2014-12-22

Version Date:

2014-12-22

Validated:

Current State:

Final no updates expected

Laboratory results on marine phytoplankton growth rates, temperatures, and isolation locations collected at Michigan State University in 2012

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Description

This dataset gives marine phytoplankton growth rates, isolation locations and temperature, and the literature sources for the studies. The data are a compilation of measurements made in laboratories around the world.

Methods & Sampling

Text here is modified from the supplementary information of Thomas et al. (2012):

We assembled a data set containing growth rate measurements of marine and estuarine phytoplankton at different temperatures that have been published over the past century. Where data were available only in the form of graphs, they were digitized using the program g3data.

Several criteria were used to determine the inclusion of species/strain data in our dataset.

1) To facilitate comparisons across studies we only included data for growth rates measured in units that could be converted to specific growth rate.

2) Because we were primarily concerned with estimating the temperature at which strains/species achieve their maximum growth rates, we rejected data from thermal reaction norms where the largest measured growth rate occurred at the lowest or highest temperature considered.

3) Published reaction norms with fewer than four measured growth rates were excluded, as were curves showing strong bimodality, which we attributed to imprecise experimental measurements.

4) Where multiple published reaction norms on the same isolate existed and were measured under different experimental conditions (salinity, nutrient limitation, light levels, day length), we preferentially selected ones meeting the following conditions:

a. Salinity between 30 and 40 parts per thousand.

b. Light levels greater than or equal to 100 microeinsteins.m^-2.s^-1.

c. Not experimentally limited by nutrients

d. Day lengths of greater than or equal to 10 hours.

When no reaction norms for a particular isolate satisfied these experimental constraints, we settled for using data from the curve(s) that were closest to the desired light and salinity levels.

5) We considered only marine and estuarine strains not isolated from inland waters.

After applying these criteria, we had data for a total of 194 isolates/strains belonging to approximately 130 species, from 111 unique isolation locations ranging in latitude from 76°N to 75°S.

Related Reference:

Thomas, M. K., Kremer, C. T., Klausmeier, C. A., & Litchman, E. (2012). A global pattern of thermal adaptation in marine phytoplankton. Science, 338(6110), 1085-1088. DOI: 10.1126/science.1224836.

Supplemental materials: http://www.sciencemag.org/content/suppl/2012/10/25/science.1224836.DC1/Thomas.SM.pdf

Data Processing Description

1) Measurements have been converted to units of specific growth rate (day-1) where they were presented in other units.

2) Where the highest or lowest pair of measurements were zero or negative, the more extreme value was excluded (e.g. where the lowest 2 measurements were at 5 and 10 degrees and were both zero, the 5 degree measurement is excluded). This is because measurements of negative growth rates are experimentally challenging and frequently unreliable; including these poor estimates tends to skew the shape of fitted thermal reaction norms.

Data Files

File
growth_rates.csv (Comma Separated Values (.csv), 130.53 KB) MD5:af3c3b6bef8561a7a46914f29198036e Primary data file for dataset ID 544814

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-0928819

Deployments

Deployment	Synonyms	Start Date	Platform	Investigator
Litchman_2012		2009-09-01	lab Litchman	Elena Litchman (Principal Investigator) Christopher Klausmeier (Co-Principal Investigator)	data info

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
strain	Index number for each strain in the dataset.	unitless	sample
lat	Latitude at which the strain was originally isolated; north is positive	decimal degrees	lat
lon	Longitude at which the strain was originally isolated; east is positive	decimal degrees	lon
temp	Temperature at which the growth rate was measured	degrees Celsius	temp
growth_rate	Measured specific growth rates	units/day	growth
taxon	Species name, including strain/clone name where available. In some cases, taxa were not identified to a species level; in this case the available identifying information was provided.	unitless	taxon
study	Reference to the published paper from which the data were collected. The complete reference may be found in the supplementary information of Thomas et al. (2012). Thomas, M. K., Kremer, C. T., Klausmeier, C. A., & Litchman, E. (2012). A global pattern of thermal adaptation in marine phytoplankton. Science, 338(6110), 1085-1088. Specifically, pages 27-36 at http://www.sciencemag.org/content/suppl/2012/10/25/science.1224836.DC1/Thomas.SM.pdf	unitless	no_bcodmo_term

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Dataset: phyto growth rates